Research Fellow in Biomechanical Models

The department has internationally recognised research groups in pure and applied analysis; fluid mechanics; mathematical physics; geometry and topology; algebra, number theory and combinatorics; mathematical modelling in biology, finance, industry and society.

About the role

Applications are invited for a full-time Research Fellow in Biomechanical Models for the Clinical Management of Intensive Care Patients,position to work with Professor Nicholas Ovenden (Professor of Applied Mathematics) and Professor Vanessa Diaz (Professor of Healthcare Engineering) on the project ’CHIMERA: Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI. The responsibilities of the post will include: build personalisable mechanistic models of the respiratory and cardiovascular systems with a ‘systems medicine’ approach, assist/support the classification of this population in terms of risk of a given clinical event, by working side-by-side with machine learning and data science experts, liaise with other team members in the CHIMERA Hub and with clinical partners at Great Ormond Street Hospital and University College London Hospital.

Salary will be UCL Grade 7, point 33 - 36 which is £42,592 - £46,155 per annum inclusive of London Allowance.

This post is available from 1 January 2023 or as soon as possible thereafter and successful applicants must be available to start no later than 31st March 2023.

This post is funded for 18 months in the first instance.

About you

Candidates should either have a PhD or equivalent qualification in Mathematics, Engineering or closely-related discipline, or should be finalising their PhD or waiting for their viva date. Please note: Appointment at Grade 7 is dependent on award and confirmation of a PhD (or equivalent). If this is not the case, initial appointment will be at Research Assistant Grade 6B, point 26 (salary £35,411 per annum inclusive of London allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. The successful candidate should demonstrate a publication record appropriate to their level of experience, have outstanding skills and experience in mathematical and/or computational modelling of physiological systems, have knowledge of physiological modelling, ordinary and partial differential equations. They should demonstrate excellent skills in programming using at least one of the following languages: R, Python, Julia, Matlab, have outstanding c! ommunicat ion: in particular, the ability to enthusiastically work in a team on a collaborative project that combines statistics, machine learning, biophysical models and clinical data.

An outstanding candidate will have experience working with clinical data, have experience with lumped parameter models of the circulation and/or the respiration, show interest in combining model- and data-driven methods and have willingness to develop new skills at the interface of engineering, mathematics and medicine. Full Person Specification and information about UCL and the Department of Mathematics can be found in the Further Particulars.

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